Prioritizing Stress Factors in Higher Education: A Statistical Validation of MCDM Results Using Spearman-Kendall Correlations

This study investigates key factors influencing student well-being and academic performance through a comprehensive survey of 250 college students in Coimbatore, India. Using pairwise comparison matrices and multi-criteria decision-making methods (FAHP, SAW, and WPM), we evaluated four criteria: family expectations (C1), psychological issues (C2), societal problems (C3), and financial difficulties (C4), with students categorized into five groups (Group 1 to Group factors.5) for analysis. The Multi-Criteria Model (MCM) analysis revealed that family expectations (C1) exerted the strongest influence on student outcomes, followed by psychological and societal factors, while financial difficulties demonstrated relatively weaker impact. These findings were validated through robust statistical analysis using Spearman and Kendall correlation tests, confirming the reliability of our results. Our research highlights the critical need for targeted interventions to address familyrelated academic pressures. We recommend implementing comprehensive wellness programs incorporating yoga, sports, and counseling services. The study underscores the importance of collaborative efforts between educators and families to enhance student well-being and suggests future research directions examining peer influence dynamics and institutional policy impacts for a more holistic understanding of student success

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-08-12
DOI
https://doi.org/10.22214/ijraset.2025.73615
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prioritizing Stress Factors in Higher Education: A Statistical Validation of MCDM Results Using Spearman-Kendall Correlations

Deepak Umrao Sarwe
International Journal for Research in Applied Science and Engineering Technology
Resilience and Mental Health
article

Prioritizing Stress Factors in Higher Education: A Statistical Validation of MCDM Results Using Spearman-Kendall Correlations

Deepak Umrao Sarwe
article en

Abstract

This study investigates key factors influencing student well-being and academic performance through a comprehensive survey of 250 college students in Coimbatore, India. Using pairwise comparison matrices and multi-criteria decision-making methods (FAHP, SAW, and WPM), we evaluated four criteria: family expectations (C1), psychological issues (C2), societal problems (C3), and financial difficulties (C4), with students categorized into five groups (Group 1 to Group factors.5) for analysis. The Multi-Criteria Model (MCM) analysis revealed that family expectations (C1) exerted the strongest influence on student outcomes, followed by psychological and societal factors, while financial difficulties demonstrated relatively weaker impact. These findings were validated through robust statistical analysis using Spearman and Kendall correlation tests, confirming the reliability of our results. Our research highlights the critical need for targeted interventions to address familyrelated academic pressures. We recommend implementing comprehensive wellness programs incorporating yoga, sports, and counseling services. The study underscores the importance of collaborative efforts between educators and families to enhance student well-being and suggests future research directions examining peer influence dynamics and institutional policy impacts for a more holistic understanding of student success

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(8)
Openalex Percentile: Top 71%
Resilience and Mental Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.